Remove project-management-software
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Software project management challenges — and how to handle them

CIO Business Intelligence

The need for efficient software development has taken on greater importance as enterprises introduce more and more digital services and add automation capabilities to enhance business processes. Managing software projects might not be at the top of CIOs’ priority lists , but it is something that IT leaders will have to master.

Software 122
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6 Benefits of Data-Driven Project Portfolio Management (PPM) Software

Smart Data Collective

Thirty years ago, businesses were starting to recognize that data was the future. However, they never imagined that big data technology would have the impact that we have witnessed in recent years. More companies are using big data to drive business decisions than ever before.

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Mastering GitHub CLI: Streamline Workflow, Collaboration, and Efficiency

Analytics Vidhya

Introduction GitHub is a cornerstone of modern software development. It has reshaped the landscape by providing a centralized hub for version control, issue tracking, and collaborative project management.

Software 285
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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

He detailed data teams’ everyday challenges, such as balancing speed and quality, and the impact of Agile methodologies borrowed from software development practices. He linked these expectations to the evolution of Agile software development and highlighted similar trends in data operations.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. Democratizing AI through your organization requires more than just software. Identifying good use cases.

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4+1 Architectural Views of an Electronic Voting System

Analytics Vidhya

Introduction 4+1 architectural views represent the overall architecture of the software incentive system. It describes the system from different viewpoints like developers, engineers, project managers or stakeholders. This article was published as a part of the Data Science Blogathon.

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Data Observability and Data Quality Testing Certification Series

DataKitchen

This series is crafted for professionals eager to deepen their knowledge and enhance their data management practices, whether you are a seasoned data engineer, a data quality manager, or just passionate about data. Slides and recordings will be provided.